😃 Welcome to my personal page!

I am Tianqi Liu (刘天齐 in Chinese), a second-year (2023.09-) master’s student in Artificial Intelligence at Huazhong University of Science and Technology (HUST), supervised by Prof. Zhiguo Cao. Before that, I received my bachelor’s degree from HUST in 2023. My current research interests is 3D vision, working on fast and high-quality 3D reconstructions. To achieve this, my current main research areas include Multi-View Stereo (MVS), Neural Radiance Field (NeRF), and 3D Gaussian Splatting (3D-GS).

📑 CV

🔥 News

📝 Publications

ECCV 2024
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[ECCV 2024] MVSGaussian: Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo
Tianqi Liu, Guangcong Wang, Shoukang Hu, Liao Shen, Xinyi Ye, Yuhang Zang, Zhiguo Cao, Wei Li, Ziwei Liu.
[Project page] [Paper] [Code] [Video] [中文解读]

MVSGaussian is a Gaussian-based method designed for efficient reconstruction of unseen scenes from sparse views in a single forward pass. It offers high-quality initialization for fast training and real-time rendering.

ECCV 2024
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[ECCV 2024] DreamMover: Leveraging the Prior of Diffusion Models for Image Interpolation with Large Motion
Liao Shen, Tianqi Liu, Huiqiang Sun, Xinyi Ye, Baopu Li, Jianming Zhang, Zhiguo Cao.
[Project page] [Paper] [Code]

By leveraging the prior of diffusion models, DreamMover can generate intermediate images from image pairs with large motion while maintaining semantic consistency.

arXiv 2024
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[arXiv 2024] WildAvatar: Web-scale In-the-wild Video Dataset for 3D Avatar Creation
Zihao Huang, Shoukang Hu, Guangcong Wang, Tianqi Liu, Yuhang Zang, Zhiguo Cao, Wei Li, Ziwei Liu.
[Project page] [Paper] [Code] [Video]

We present WildAvatar, a web-scale in-the-wild video dataset for 3D avatar creation.

CVPR 2024
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[CVPR 2024] Geometry-aware Reconstruction and Fusion-refined Rendering for Generalizable Neural Radiance Fields
Tianqi Liu, Xinyi Ye, Min Shi, Zihao Huang, Zhiyu Pan, Zhan Peng, Zhiguo Cao.
[Project page] [Paper] [Code] [Video]

We present GeFu, a generalizable NeRF method that synthesizes novel views from multi-view images in a single forward pass.

CVPR 2024
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[CVPR 2024] 3D Multi-frame Fusion for Video Stabilization
Zhan Peng, Xinyi Ye, Weiyue Zhao, Tianqi Liu, Huiqiang Sun, Baopu Li, Zhiguo Cao.
[Paper] [Code]

RStab is a novel framework for video stabilization that integrates 3D multi-frame fusion through volume rendering.

ICCV 2023
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[ICCV 2023] When Epipolar Constraint Meets Non-local Operators in Multi-View Stereo
Tianqi Liu, Xinyi Ye, Weiyue Zhao, Zhiyu Pan, Min Shi, Zhiguo Cao.
[Paper] [Code]

ETMVSNet uses epipolar geometric priors to constrain feature aggregation fileds, thereby efficiently inferring multi-view depths and reconstructing scenes.

ICCV 2023
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[ICCV 2023] Constraining Depth Map Geometry for Multi-View Stereo: A Dual-Depth Approach with Saddle-shaped Depth Cells
Xinyi Ye, Weiyue Zhao, Tianqi Liu, Zihao Huang, Zhiguo Cao, Xin Li.
[Paper] [Code]

DMVSNet proposes a new perspective to consider the depth geometry of multi-view stereo and introduces a dual-depth approach to approximate the depth geometry with saddle-shaped cells.

🎖 Honors and Awards

  • 2023    Honours Degrees (Top 3%)
  • 2022    National Scholarship (Top 2%)
  • 2022    Merit Student (Top 2%)
  • 2022    Meritorious Winner, American College Students Mathematical Contest in Modeling
  • 2021    Outstanding Undergraduate Student (Top 2%)
  • 2021    First prize in the National Mathematics Competition for college students

📎 Links